Digital Door Lock With Mail Alert using Raspberry Pi and OpenCV

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Description

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This paper deals with the development of a safety system which is integrated with the smart helmet and intelligent bike to reduce accidents and other drunk and drive cases for two-wheelers. Here pressure sensor and the accelerometer sensor checks whether the person wears helmet or not. Also, at the same an alcohol sensor is used to detect the alcoholic content from the rider?s breath. The vehicle will not start if the rider is not wearing helmet or if the rider is drunken. Whenever the rider crashes, the helmet hits the ground and the sensor detect the motion and report the accident case information to the family members of the rider via IOT.

INTRODUCTION:

Beginning with the quote ?BE CAUTIONS EVERY LIFE IS PRECIOUS? the main reason for the road accidents is because of our carelessness and over speed. In order to overcome such a situation here we are using several sensors such as pressure sensor, accelerometer sensor and alcohol sensors to check whether the rider wears helmet or if he is drunken or not and if so the vehicle will not get start. Thus we can reduce accidents and hence our objective is to develop a two-wheeler safety system which aims for accident prevention, detection and reporting and to reduce the probability of two-wheeler accidents and the probability of drunk and drive cases.

Existing system:

In the existing system, it aims in the accident detection and notification. Detection is made by using several sensors and web-based services. The vehicle location is obtained by making use of GPS. But it has certain disadvantages like less accuracy in the detection, there is no system to check if the rider is wearing helmet or not and also there is no attempt to prevent the drunk and drive cases.

disadvantage:

  • Less accuracy in the detection of accident.
  • There is no system to check if the rider is wearing the helmet or not.
  • There is no attempt to prevent the drunk and drive cases.

Proposed system:

In this proposed system, both sensors for checking if the rider wears helmet and to check if he is drunken or not. It mainly aims in the prevention, detection and reporting of accidents. Here we are using NODEMCU. If an accident is detected alert message will be send to concerned person using MQTT communication. This system mainly includes 3 units

  • Helmet unit
  • Bike unit
  • Receiver unit

Advantage

  • totally automated system
  • can receive alert from any remote location
  • gps based locating
  • low cost implementation

HARDWARE REQUIREMENTS

  • NODEMCU
  • Alcohol sensor
  • Pressure sensor
  • Accelerometer sensor
  • LCD
  • LED

SOFTWARE REQUIREMENTS:

  • EMBEDDED C
  • ARDUINO IDE

REFERENCES:

[1] Mohd Khairul Afiq Mohd Rasli, Nina Korlina Madzhi, Juliana Johari, ?Smart helmet with

sensors for accident prevention “, in 2013 International Conference on Electrical,

Electronics and System Engineering (ICEESE), pp. 21-26

[2] Nandu R & Singh K, ?Smart Helmet for Two Wheelers? Adv Automob Eng 3:110. Oct 2014,

doi:10.4172/2167-7670.1000110

[3] Dr. G. N. Kodandaramaiah, Dr. Prabhakar V. Hunagund & Mr. Santosh B Panjagal, ?Smart

Helmet: The Next Generation Solar Gadget? IJMETMR, Vol no:2(2015), July 2015, ISSN

No:2348-4845

[4] ONISR. Observatoire National Inter ministeriel de la S?curite-Routi?re. Accessed: 2013. [Online]. Available: http://www.securite-routiere. gouv.fr/la-securite-routiere/l-observatoire-national-interministeriel-de-lasecurite-routiere

[5] SHRP2. (2015). Strategic Highway Research Program (SHRP2). Accessed: 2015. [Online]. http://www.trb.org/StrategicHighwayResearch Program2SHRP2/Public/Blank2.aspx

[6] S. B. McLaughlin, Z. R. Doerzaph, and B. R. Cannon, ?Pilot study of instrumentation to collect behavioral data to identify on-road rider behavior,? Nat. Highway Traf?c Saf. Admin., Washington, DC, USA, Tech. Rep. HS-811 442, 2011.

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